Bring expert judgement into the workflow
Academic and professional staff can check category fit for comments where local context or domain knowledge matters.
Feature
Review and correct student comment categories and sentiment before final reports, dashboards, and exports are generated.
Student Voice Analytics supports a review workflow for comment categories and sentiment. Staff can inspect the classification for a comment or sentence, correct it where needed, and regenerate outputs from the reviewed data.
Discuss the source data, reporting question, outputs and delivery window.
Survey teams, analysts, academic reviewers, and governance leads.
Automated classification can handle volume, but institutions still need a route for expert judgement. Review workflows stop edge cases, sensitive phrasing, or local context from being locked into final reporting without inspection.
Academic and professional staff can check category fit for comments where local context or domain knowledge matters.
Corrections can feed updated workbooks, summaries, and dashboards rather than sitting in a separate manual note.
Reviewed examples help teams understand classification boundaries and support better consistency across survey cycles.
Yes. Sentence-level analysis can handle comments that mention more than one issue or contain both positive and negative signals.
Yes. Corrections can be incorporated before reports and exports are regenerated.
The best reviewers are usually survey leads, quality staff, local academic leads, or service owners who understand the context behind the comments.
Discuss the source data, reporting question and outputs your team needs. Explore the worked example before agreeing the scope and delivery window.
Discuss your survey